Ai-Powered Aquatic Robots: Revolutionizing River Plastic Segregation

Prof. Nisha R. Menon; Dr. Michael J. Patterson

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Ai-Powered Aquatic Robots: Revolutionizing River Plastic Segregation

Prof. Nisha R. Menon ¹ , Dr. Michael J. Patterson ²

¹ Department of Robotics and Artificial Intelligence, Indian Institute of Science, Bangalore, India

² Department of Mechanical Engineering, Massachusetts Institute of Technology (MIT), USA

Issue Vol. 1 No. 01 (2024): Volume 01 Issue 01 --- Section Articles --- Published Date: 2024-12-09

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Abstract

Plastic pollution in aquatic ecosystems poses a significant global environmental challenge, severely impacting biodiversity, water quality, and human health. Traditional waste collection methods are often inefficient, resource-intensive, and hazardous in dynamic riverine environments. This article explores the design, conceptualization, and potential implementation of an autonomous river cleaning robot integrating advanced Artificial Intelligence (AI) for precise plastic waste segregation at the source. By combining robust robotic mobility, sophisticated real-time sensing, and intelligent computer vision systems, this proposed solution aims to significantly enhance the efficiency of debris removal operations and facilitate improved recycling processes by yielding higher-quality, pre-sorted materials. The implementation of such intelligent aquatic robotics offers a scalable, sustainable, and safer approach to mitigating river plastic pollution, paving the way for healthier aquatic ecosystems and contributing to a more circular economy.

Keywords

Autonomous robot, Plastic waste collection, Object detection, Environmental monitoring

References

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How to Cite

Ai-Powered Aquatic Robots: Revolutionizing River Plastic Segregation. (2024). European Journal of Emerging Data Science and Machine Learning, 1(01), 13-24. https://parthenonfrontiers.com/index.php/ejedsml/article/view/69

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